Introduction to Computer Vision (Postgraduate)
In recent years, research in computer vision has made significant progress. This is largely driven by the recognition that effective visual perception is crucial in understanding intelligent behaviour - unless we understand how we perceive, we will never understand how we reason The first part of the module will introduce the relevant concepts and techniques in machine learning. In the second part we will show how these techniques can be applied to various areas in computer vision.
Research Interests:Mobile Camera Networks, Audio-Visual Object Tracking, Audio-Visual Calibration
Ba S, Alameda-Pineda X, Xompero A et al. (2016). An on-line variational Bayesian model for multi-person tracking from cluttered scenes. nameOfConference